FanDuel, DraftKings MLB Lineups to Stack / Avoid – Thursday May 17

My approach is to take the team’s current DFS points/pa (ppa) and multiply by (the opposing pitcher’s DFS ppa divided by MLB average DFS ppa) in percentage.

FANDUEL MAIN SLATE

MLB FanDuel average is currently 2.19 ppa

Lineups to Stack (opposing pitcher’s ppa >115% MLB average)

1. PIT (2.33 ppa) vs Eric Lauer SDP (153%) = Modified 3.57 ppa
2. COL (2.14 ppa) vs Jeff Samardzija SFG (137%) = Modified 2.95 ppa
3. LAA (2.29 ppa) vs Chris Archer TBR (122%) = Modified 2.80 ppa
4. STL (2.09 ppa) vs Vince Velasquez PHI (117%) = Modified 2.45 ppa

Lineups to avoid (opposing pitcher’s ppa <85% MLB average)

1. TBR (2.14 ppa) vs Tyler Skaggs LAA (82%) = Modified 1.76 ppa
2. SEA (2.29 ppa) vs Matt Boyd DET (84%) = Modified 1.93 ppa
3. SFG (2.10 ppa) vs Chad Bettis COL (85%) = Modified 1.78 ppa

DRAFTKINGS MAIN SLATE

MLB DraftKings average is currently 1.67 ppa

Lineups to Stack (opposing pitcher’s ppa >115% MLB average)

1. PIT (1.77 ppa) vs Eric Lauer SDP (153%) = Modified  2.71 ppa
2. COL (1.64 ppa) vs Jeff Samardzija SFG (135%) = Modified 2.22 ppa
3. LAA (1.76 ppa) vs Chris Archer TBR (121%) = Modified 2.13 ppa
4. STL (1.59 ppa) vs Vince Velasquez PHI (116%) = Modified 1.85 ppa
5. DET (1.69 ppa) vs Marco Gonzales SEA (116%) = Modified 1.95 ppa
6. SDP (1.53 ppa) vs Chad Kuhl PIT (115%) = Modified 1.75

Lineups to avoid (opposing pitcher’s ppa <85% MLB average)

1. TBR (1.66 ppa) vs Tyler Skaggs LAA (85%) = Modified 1.41 ppa
2. SEA (1.76 ppa) vs Matt Boyd DET (85%) = Modified 1.50 ppa

** Edited to correct error: Velasquez is pitching against STL not BAL.